Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks

Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, and Wei-Fen Lin

Here is the resource page for the "Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks" research. The source code, dataset and other related resources can be downloaded here. If you need any information, please feel free to contact us.

Citation: Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, and Wei-Fen Lin, Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks, ACL 2012.

Download: please contact Tsung-Ting Kuo.

  • Source Code (GitHub)

  • Dataset (324MB ZIP file, 1.13GB after extracted)

  • Readme (54.1KB PDF file)

    • Software Platform: we use Java as our development platform. Please install Java 1.6.0 or above in order to execute or modify our source code.

    Hardware Platform: we suggest using AMD Opteron 2350 2.0GHz Quad-core CPU or above, with 32GB RAM or above to run the program

    Acknowledgement: we used these libraries in our program (in alphabetical order):

    Apache Common Math 1.2.0 or above
    Apache Collections-Generic 4.0.1 or above
    AUC Calculator 0.2 or above
    BLAS 0.8 or above
    JUNG 2.2.0 or above
    LIBLINEAR 1.5.1 or above
    Tsung-Ting's Java Utilities

    Please let us know if you have any question or suggestion. We appreciate your time for visiting our resource site.

    Tsung-Ting Kuo
    Shou-De Lin

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